Inferring results from incomplete data
Finding parameter values, confidence intervals.
Methods for estimating parameters.
Measuring the correspondece between data and model.
How to choose useful variables.
Common problems in statistical modelling.
You don't have to be a wizard to do statistics!
Overview of possible follow up courses and subjects from the same publisher.
This tutorial is part 1 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.
This tutorial is part 2 of 2. It aims to provide viewers with an understanding of the fundamentals of R tool.
This talk highlights a set of platform technologies, software, and data collections that close and shorten the feedback cycle in research.